The Bifurcating Neuron Network 3

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dc.contributor.authorChoi, Jinhyuk-
dc.contributor.authorLee, Geehyuk-
dc.date.accessioned2013-03-18T20:27:23Z-
dc.date.available2013-03-18T20:27:23Z-
dc.date.created2012-02-06-
dc.date.issued2005-07-31-
dc.identifier.citationInternational Joint Conference on Neural Networks, IJCNN 2005, v.4, no., pp.2184 - 2189-
dc.identifier.urihttp://hdl.handle.net/10203/152166-
dc.description.abstractThe bifurcating neuron (BN) is an integrate-and-fire model neuron that exhibits bistability and attractor-merging crisis. The bifurcating neuron network 1, a network of BNs, was shown to be an associative memory that is robust against spurious minima problems. It was noted that the BN can in fact have multi-stability, which would make the BN a chaotic, multi-state, integrate-and-fire model neuron. This paper is a report of our preliminary study on the tri-stability of the BN, the behaviors of interacting such BNs, and a design of a network of BNs that interact via "mutually-exclusive" coupling, thereby solving a 3-coloring problem.-
dc.languageENG-
dc.titleThe Bifurcating Neuron Network 3-
dc.typeConference-
dc.identifier.scopusid2-s2.0-33750096405-
dc.type.rimsCONF-
dc.citation.volume4-
dc.citation.beginningpage2184-
dc.citation.endingpage2189-
dc.citation.publicationnameInternational Joint Conference on Neural Networks, IJCNN 2005-
dc.identifier.conferencecountryCanada-
dc.identifier.conferencecountryCanada-
dc.contributor.localauthorLee, Geehyuk-
dc.contributor.nonIdAuthorChoi, Jinhyuk-
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CS-Conference Papers(학술회의논문)
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